UNTREF Speech Workshop

A short workshop introducing speech recognition and speech synthesis techniques for the creation of interactive artwork. We use pre-compiled open-source tools (CMU Sphinx ASR, Festival TTS, Processing, Python) and focus on the demonstrable strengths and unexpected limitations of speech technologies as vehicles for creating meaning.

Example - Grammar-based Recognition

this example uses a simple grammar. In the data folder it has a grammar file (.gram), a dictionary file (.dict), and a config file (.xml)
the grammar file (upstairs.gram) is a JSGF format grammar file that lists the possible words your system can hear. It has a format with individual words in upper-case letters, and a "|" mark between each word. You should be able to edit this file and fill it with your own words.
the dict file (upstairs.dict) is a pronunciation dictionary file. It breaks each of those upper-case words fro the grammar into phonemic units. The easiest way to make a new dictionary with your own words is to use the online language tool described below.
finally, the config file (upstairs.config.xml) specifies various parameters and file-names for the speech recognition engine. In this file you will probably need to change the path to your data files such as the grammar, dict, and the Library files you installed above. If you edit the xml file you will see that a lot of the paths are of the form "/Users/rtwomey/" which is obviously my computer, replace with the path to the file on your system. contact me if this doesn't work

Example - SLM-based Recognition

This example does Sphinx4 automatic speech recognition using a statistical language model (SLM) rather than a grammar.

I have included two SLMs in the data directory, 3990.lm/3990.dict, and 7707.lm/7707.dict

They were generated with the CMU Sphinx Knowledge Base Tool (see below). For each, I uploaded a plain-text file of sentences and saved the resulting tar file with dict, lm, and other results.

As above, you may need to change some file paths in the sphinx_config.xml file to match the setup on your system.

Online Tool for Training Language Models

This produces a statistical language model and dictionary (along with various other products) for the text you upload.

Your source file should be plain text, one sentence per line.

Upload the file and then click "Compile Knowledge Base."

On the results screen, click on the .TAR file to download it. Unzip this file:

The .dic is your pronunciation dictionary. You may want to rename it to .dict to match the files in the sketch. Or change your config file.

The .lm file is a 3-gram SLM file. If you are trying the SLM example above you will need this as well.

The grammar example above runs from a grammar (.gram) and a dictionary (.dict). This online language tools generates the dictionary for your text but not the grammar. You will need to make the grammar on your own.

The SLM example above runs from a grammar (.gram) and a language model (.lm). This online tool generates both files.

Example 1. Speech

Example 2. Daisy Bell

"Daisy Bell" was composed by Harry Dacre in 1892. In 1961, the IBM 7094 became the first computer to sing, singing the song Daisy Bell. Vocals were programmed by John Kelly and Carol Lockbaum and the accompaniment was programmed by Max Mathews.